OceanMCP

A monorepo of independently installable MCP servers for ocean and coastal data workflows.

Servers

Server	PyPI	Description
coops-mcp		NOAA CO-OPS tides, water levels, currents, meteorological data
erddap-mcp		Universal ERDDAP data access across 80+ public servers
nhc-mcp		NHC storm tracks, advisories, HURDAT2 best track data
stofs-mcp		NOAA STOFS storm surge forecasts and observation validation
ofs-mcp		NOAA OFS regional ocean model forecasts (water level, temperature, salinity)

No API keys required — all servers use free, publicly available datasets.

Quick Start

Install from PyPI

# uvx (recommended) — runs without permanent install, like npx for Python
uvx coops-mcp

# pip — install into current environment
pip install coops-mcp

# pipx — install in isolated environment with CLI entry point
pipx install coops-mcp

Replace coops-mcp with any server: erddap-mcp, nhc-mcp, stofs-mcp, ofs-mcp.

Install from source

git clone https://github.com/mansurjisan/ocean-mcp.git
cd ocean-mcp/servers/coops-mcp  # or erddap-mcp, nhc-mcp, stofs-mcp, ofs-mcp
uv sync

Configure your MCP client

Add to your MCP settings (e.g., project .mcp.json):

Using PyPI packages (recommended):

{
  "mcpServers": {
    "coops": {
      "command": "uvx",
      "args": ["coops-mcp"]
    },
    "erddap": {
      "command": "uvx",
      "args": ["erddap-mcp"]
    },
    "nhc": {
      "command": "uvx",
      "args": ["nhc-mcp"]
    },
    "stofs": {
      "command": "uvx",
      "args": ["stofs-mcp"]
    },
    "ofs": {
      "command": "uvx",
      "args": ["ofs-mcp"]
    }
  }
}

Using local source checkout

{
  "mcpServers": {
    "coops": {
      "command": "uv",
      "args": ["run", "--directory", "/path/to/ocean-mcp/servers/coops-mcp", "python", "-m", "coops_mcp"]
    },
    "erddap": {
      "command": "uv",
      "args": ["run", "--directory", "/path/to/ocean-mcp/servers/erddap-mcp", "python", "-m", "erddap_mcp"]
    },
    "nhc": {
      "command": "uv",
      "args": ["run", "--directory", "/path/to/ocean-mcp/servers/nhc-mcp", "python", "-m", "nhc_mcp"]
    },
    "stofs": {
      "command": "uv",
      "args": ["run", "--directory", "/path/to/ocean-mcp/servers/stofs-mcp", "python", "-m", "stofs_mcp"]
    },
    "ofs": {
      "command": "uv",
      "args": ["run", "--directory", "/path/to/ocean-mcp/servers/ofs-mcp", "python", "-m", "ofs_mcp"]
    }
  }
}

Example Queries

With servers configured, you can ask your AI assistant naturally:

CO-OPS queries:

"Get current water levels at The Battery, NY"
"Find tide stations near Miami Beach"
"What are the flood statistics for Charleston, SC?"
"Show me the sea level trend at San Francisco"

ERDDAP queries:

"Search for sea surface temperature datasets on CoastWatch"
"Get chlorophyll data off the California coast for January 2024"
"What ERDDAP servers cover the US East Coast?"
"List all glider datasets on IOOS Gliders ERDDAP"

NHC queries:

"Are there any active tropical cyclones right now?"
"Show me Hurricane Katrina's track"
"Search for Category 5 hurricanes in the Atlantic"
"What is the forecast track for the active storm?"

STOFS queries:

"Get the STOFS water level forecast for The Battery, NY"
"Compare STOFS forecast vs observations at Boston for the past 24 hours"
"What are the top stations with highest predicted water levels?"
"Find STOFS stations within 50 km of New Orleans"

OFS queries:

"What OFS models cover the Chesapeake Bay?"
"Get the water level forecast at lat 38.98, lon -76.48 from CBOFS"
"Compare CBOFS water level with CO-OPS observations at station 8571892"
"List available NGOFS2 forecast cycles for today"

Cross-server queries:

"Find CO-OPS stations near this ERDDAP buoy location"
"Compare tide station data with nearby ERDDAP satellite SST"
"Is there an active hurricane threatening the Gulf Coast? If so, show me the STOFS surge forecast for New Orleans"
"Get the CBOFS water level forecast at Chesapeake Bay and compare it with the CO-OPS tide prediction for the same station"
"Show me sea surface temperature from ERDDAP near The Battery and the current water level from CO-OPS"
"Which NHC storms have hit the Gulf Coast historically? Show the CO-OPS flood statistics for impacted stations"
"Get the STOFS gridded forecast and the OFS water level forecast at the same location and compare them"

Architecture

Each server is fully self-contained with its own pyproject.toml, dependencies, and tests. See docs/architecture.md for details on shared conventions.

Shared patterns across servers:

FastMCP for MCP server framework
httpx for async HTTP clients
Pydantic for parameter validation
Read-only tools (no data modification)
Dual markdown/JSON output formats
Actionable error messages with suggestions

Citation

If you use this project in your research or work, please cite:

@software{jisan2025oceanmcp,
  author    = {Jisan, Mansur Ali},
  title     = {Ocean MCP: Real-Time Marine Data, MCP-Native},
  year      = {2025},
  url       = {https://github.com/mansurjisan/ocean-mcp},
  note      = {MCP servers for NOAA CO-OPS, ERDDAP, NHC, STOFS, and OFS data}
}

License

Licensed under the MIT License. You may use, modify, and distribute this software under the MIT terms. See LICENSE for details.

NOAA CO-OPS MCP Server

Quick Install